Alternating projection for MIMO radar waveform design
Document Type
Conference Proceeding
Publication Date
12-1-2009
Abstract
Recently there has been a surge of interest in waveform design for Multiple-input multiple-output (MIMO) radar, and a greatdeal of efforts have been devoted to this topic. In this paper, we revisit an earlier examined MIMO radar waveform design problem which optimizes both minimum mean-square error estimation (MMSE) and mutual information (MI). We formulate a new waveform design problem and provide some further results, which complement the previous study. More specifically, we present an iterative optimization algorithm based on the alternating projection method, to determine waveform solutions that can simultaneously satisfy a structure constraint and optimize the design criteria. Numerical examples are provided, which illustrate the effectiveness of the proposed approach. In particular, we find that the waveform solutions obtained through our proposed algorithm can achieve very close and virtually indistinguishable performance from that predicted in the previous study. © 2009 IEEE.
Publication Title
CAMSAP 2009 - 2009 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing
Recommended Citation
Yang, Y.,
Blum, R.,
He, Z.,
&
Fuhrmann, D.
(2009).
Alternating projection for MIMO radar waveform design.
CAMSAP 2009 - 2009 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 169-172.
http://doi.org/10.1109/CAMSAP.2009.5413310
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p/10354